Author: Zuo, Guanghong; Xu, Zhao; Yu, Hongjie; Hao, Bailin
Title: Jackknife and Bootstrap Tests of the Composition Vector Trees Document date: 2011_3_5
ID: vm5zjr64_4
Snippet: In the CV approach, each organism is represented by a composition vector made of K-peptide counts obtained from the organism's proteome. The K-value controls the resolution of the method. A subtraction procedure based on (K 2)-th order Markov prediction is introduced to suppress effect of neutral mutations and to highlight the shaping role of natural selection (1) . The most suitable K-values depend on the overall size of the proteome of the grou.....
Document: In the CV approach, each organism is represented by a composition vector made of K-peptide counts obtained from the organism's proteome. The K-value controls the resolution of the method. A subtraction procedure based on (K 2)-th order Markov prediction is introduced to suppress effect of neutral mutations and to highlight the shaping role of natural selection (1) . The most suitable K-values depend on the overall size of the proteome of the group of organisms under study. Our previous work has shown that the "best" Ks are 4 and 5 for viruses, 5 and 6 for prokaryotes, 6 and 7 for fungi. We will see that bootstrap tests provide another angle to look at these K-values.
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